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08/24/2023
Motion-Guided Masking for Spatiotemporal Representation Learning
Several recent works have directly extended the image masked autoencoder...
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07/26/2023
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
The quality of training data impacts the performance of pre-trained larg...
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06/08/2023
One-step Multi-view Clustering with Diverse Representation
Multi-view clustering has attracted broad attention due to its capacity ...
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05/17/2023
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Large Language Models (LLMs), armed with billions of parameters, exhibit...
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04/25/2023
Patch-based 3D Natural Scene Generation from a Single Example
We target a 3D generative model for general natural scenes that are typi...
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04/03/2023
Learning Anchor Transformations for 3D Garment Animation
This paper proposes an anchor-based deformation model, namely AnchorDEF,...
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04/01/2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
Fast adversarial training (FAT) is an efficient method to improve robust...
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03/25/2023
Selective Structured State-Spaces for Long-Form Video Understanding
Effective modeling of complex spatiotemporal dependencies in long-form v...
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03/15/2023
Skinned Motion Retargeting with Residual Perception of Motion Semantics Geometry
A good motion retargeting cannot be reached without reasonable considera...
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03/15/2023
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Image inpainting aims to fill the missing hole of the input. It is hard ...
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03/10/2023
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
Reconstructing two hands from monocular RGB images is challenging due to...
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01/30/2023
Passively Addressed Morphing Surface (PARMS) Based on Machine Learning
Reconfigurable morphing surfaces provide new opportunities for advanced ...
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01/06/2023
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
Speech-driven 3D facial animation has been widely studied, yet there is ...
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01/03/2023
High-Quality Supersampling via Mask-reinforced Deep Learning for Real-time Rendering
To generate high quality rendering images for real time applications, it...
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12/27/2022
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Learning with noisy label (LNL) is a classic problem that has been exten...
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12/14/2022
Rate-Splitting Multiple Access for Uplink Massive MIMO With Electromagnetic Exposure Constraints
Over the past few years, the prevalence of wireless devices has become o...
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11/27/2022
VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
We present VideoReTalking, a new system to edit the faces of a real-worl...
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11/25/2022
Fine-Grained Face Swapping via Regional GAN Inversion
We present a novel paradigm for high-fidelity face swapping that faithfu...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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10/12/2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
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10/03/2022
Stability Analysis and Generalization Bounds of Adversarial Training
In adversarial machine learning, deep neural networks can fit the advers...
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10/02/2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis
Adversarial Training (AT) has been demonstrated as one of the most effec...
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10/02/2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Deep neural networks (DNNs) are shown to be vulnerable to adversarial ex...
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08/14/2022
HyP^2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
Image retrieval has become an increasingly appealing technique with broa...
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07/21/2022
LocVTP: Video-Text Pre-training for Temporal Localization
Video-Text Pre-training (VTP) aims to learn transferable representations...
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07/18/2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Fast adversarial training (FAT) effectively improves the efficiency of s...
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07/01/2022
Neural Parameterization for Dynamic Human Head Editing
Implicit radiance functions emerged as a powerful scene representation f...
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06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
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06/02/2022
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
Communication compression is a crucial technique for modern distributed ...
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05/31/2022
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis
Existing 3D-aware facial generation methods face a dilemma in quality ve...
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05/26/2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Although the pre-trained Vision Transformers (ViTs) achieved great succe...
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05/24/2022
Improving the Latent Space of Image Style Transfer
Existing neural style transfer researches have studied to match statisti...
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05/10/2022
Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints
In the fifth-generation and beyond era, reconfigurable intelligent surfa...
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04/17/2022
VDTR: Video Deblurring with Transformer
Video deblurring is still an unsolved problem due to the challenging spa...
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03/31/2022
Deformable Video Transformer
Video transformers have recently emerged as an effective alternative to ...
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03/27/2022
UV Volumes for Real-time Rendering of Editable Free-view Human Performance
Neural volume rendering has been proven to be a promising method for eff...
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03/25/2022
Unsupervised Pre-training for Temporal Action Localization Tasks
Unsupervised video representation learning has made remarkable achieveme...
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03/23/2022
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Pre-training video transformers on extra large-scale datasets is general...
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03/23/2022
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
Recent studies in deepfake detection have yielded promising results when...
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03/13/2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Adversarial training (AT) is always formulated as a minimax problem, of ...
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03/08/2022
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN
One-shot talking face generation aims at synthesizing a high-quality tal...
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02/16/2022
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Vision Transformers (ViTs) take all the image patches as tokens and cons...
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12/21/2021
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
Conventional 3D human pose estimation relies on first detecting 2D body ...
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12/10/2021
DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings
Contrastive learning has been proven suitable for learning sentence embe...
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11/30/2021
FENeRF: Face Editing in Neural Radiance Fields
Previous portrait image generation methods roughly fall into two categor...
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11/30/2021
Hallucinated Neural Radiance Fields in the Wild
Neural Radiance Fields (NeRF) has recently gained popularity for its imp...
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11/29/2021
Deblur-NeRF: Neural Radiance Fields from Blurry Images
Neural Radiance Field (NeRF) has gained considerable attention recently ...
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10/30/2021
TransAug: Translate as Augmentation for Sentence Embeddings
While contrastive learning greatly advances the representation of senten...
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10/11/2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Studies on self-supervised visual representation learning (SSL) improve ...
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10/11/2021